User agent detail

Mozilla/5.0 (Linux; U; Android 4.2.2;ru-ru; Lenovo B8000-H/JDQ39) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.2.2 Mobile Safari/534.30
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Test suite
Browscap
6014
vendor/browscap/browscap/tests/fixtures/issues/issue-711.php
Android 4.2WebKit unknownAndroid 4.2LenovoYoga Tablet 10 3GTabletyesyes0 Detail
Providers
BrowscapFull
6014
Android 4.2WebKit Android 4.2LenovoYoga Tablet 10 3GTabletyesyes0.03 Detail
BrowscapLite
6014
Android 4.2closeAndroid closecloseMobile Phoneyescloseclosecloseclose0.006 Detail
BrowscapPhp
6014
Android 4.2closeAndroid closecloseTabletyesyesclose0.034 Detail
DonatjUAParser
v0.5.1
Android Browser 4.2.2closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
JenssegersAgent
v2.3.3
Safari 4.2.2closeAndroidOS 4.2.2closeclosecloseyescloseclose0.002 Detail
NeutrinoApiCom

Android Webkit 4.2.2closeAndroid 4.2.2LenovoB8000-Hmobile-browseryescloseclose0.26902 Detail
PiwikDeviceDetector
3.6.1
Android Browser WebKit Android 4.2LenovoB8000-Hsmartphoneyes0.003 Detail
SinergiBrowserDetector
6.0.1
Navigator 4.2.2closeAndroid 4.2.2closecloseyesclosecloseclose0.001 Detail
UAParser
v3.4.5
Android 4.2.2closeAndroid 4.2.2LenovoB8000-Hcloseclosecloseclose0.001 Detail
UserAgentApiCom

Safari 534.30WebKit 534.30closeclosecloseMobileclosecloseclose0.15801 Detail
UserAgentStringCom

Android Webkit Browser closeAndroid 4.2.2closecloseclosecloseclose0.07801 Detail
WhatIsMyBrowserCom

Android Browser 4.2.2WebKit 534.30Android 4.2.2closeclosecloseclosecloseclose0.24001 Detail
WhichBrowser
v2.0.18
Android Browser Webkit 534.30Android 4.2.2LenovoB8000 Yoga Tablet 10tabletyescloseclose0.005 Detail
Woothee
v1.2.0
Safari 4.2.2closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.7.1.0
Android Webkit 4.2.2closeAndroid 4.2.2LenovoB8000-HTabletyesyescloseclose0.02 Detail
Zsxsoft
1.3
Android Webkit 4.2.2closeAndroid 4.2.2LenovoB8000closeclosecloseclosecloseclose0.001 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-05-10 08:09:10 | by ThaDafinser